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Automate and accelerate data migrations with AI

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Automatically translate code and validate your data with the Datafold Migration Agent for a faster migration experience.

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Powering leading data teams
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Migration Automation

Don't let data migrations drain your team—let AI handle the heavy lifting.

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01
SQL translation and conversion

Automatically convert SQL scripts and stored procedures

Datafold's migration AI agent does the heavy lifting by automatically translating your legacy SQL scripts or stored procedures into new SQL dialect scripts or dbt models. Eliminate manual errors and speed up your migration timeline.

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Iterate and refine with ai

Trust your migration with AI-powered validation

The Datafold Migration Agent has your back, meticulously checking data integrity between systems, and refining SQL conversions as needed. This automated validation process gives your team full confidence in the success of your migration.

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Validate with cross-database reconciliation

Keep your data consistent across platforms

Automatically run cross-database data diffs—comprehensive value-level comparisons of tables across databases—to ensure every data point is accurately replicated.

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Migration type
support

Acceleration and automation for every type of migration

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01

Legacy-to-Cloud Migration

For teams migrating from legacy databases to modern solutions, automatically convert SQL scripts and leverage to identify value-level parity between systems.

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02

Workflow Migration

Automate the transition from traditional transformation processes, such as stored procedures, to modern transformation frameworks like dbt.

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03

Full-Stack Migration

Combine database and transformation migrations to adopt both a new database platform and transformation tooling. Use the Datafold AI agent to accelerate, convert, and validate every part of your migration process.

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How it works

Make data migrations painless.
See how top teams achieve speed
and confidence.

Key metrics
6 month
Faster migration
5000+
Tables migrated

"Having Datafold in a situation where you need 1 to 1 migration is critical...No question. I would recommend Datafold for any large-scale migration."

Jon Medwig
Staff Data Engineer
Key metrics
3+
Hours saved during the validation process for each new model
300+
Models rebuilt and validated in Snowflake

"Datafold allows real visibility into data changes before the changes are live, reducing mistakes and enabling our analysts and stakeholders to feel confident in their changes."

Adam Underwood
Staff Analytics Engineer
Key metrics
0 hours
of unplanned operational downtime
5 weeks
worth of manual validation time saved

" [Our] team quickly identified and resolved discrepancies during the migration without needing to write extensive SQL code to compare objects...Datafold saved us 4-5 weeks of manual validation time."

Matt Kinnahan
VP of Strategy, Analytics and Digital Commerce
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Integrations

Built to integrate with your current
(and future) stack

Explore Integrations
Datafold integrates with 50+ popular data tools
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FAQ

Got questions? We've got answers.

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How does Datafold help accelerate migrations?

Datafold provides a full-cycle migration automation solution for data teams, which includes code translation and cross-database reconciliation. Specifically, Datafold leverages an AI-powered agent (the Datafold Migration Agent) and cross-database diffing to convert SQL code and validate tables across databases.

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How does cross-database diffing work?

First, Datafold connects to any SQL source and target databases, similar to how BI tools do.
Second, Datafold does not need to extract the entirety of the datasets for comparisons. Instead, Datafold relies on stochastic checksumming to identify discrepancies and only extract those for analysis.

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3

How can my team run data diffs?

Users can trigger diffs through a variety of ways, including the Datafold UI, REST API, and on schedule using a cross-database diffing monitor.

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4

What type of security does Datafold offer?

Datafold is SOC 2 Type II, GDPR, and HIPAA-compliant and provides flexible deployment options including in-VPC deployment in AWS, GCP, or Azure.